{"id":41612,"url":"https://alion.io/job/deutsche-telekom-it-solutions-hu-ai-swe-code-quality-validation-engineer-t-cloud-public","title":"AI SWE / Code Quality Validation Engineer - T Cloud Public","company":{"id":456026,"name":"Deutsche Telekom IT Solutions Hungary","domain":"deutschetelekomitsolutions.hu","url":"https://alion.io/company/deutsche-telekom-it-solutions-hu","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-22T06:10:10Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":71000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1161},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cline","optional":false},{"name":"Code Llama","optional":false},{"name":"Cursor","optional":false},{"name":"DeepSeek-Coder","optional":false},{"name":"Docker","optional":false},{"name":"Falco","optional":false},{"name":"GitGuardian","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Go","optional":false},{"name":"Grype","optional":false},{"name":"Helm","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenStack","optional":false},{"name":"OWASP Dependency-Check","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qwen","optional":false},{"name":"Rust","optional":false},{"name":"SBOM","optional":false},{"name":"Semgrep","optional":false},{"name":"SonarQube","optional":false},{"name":"StarCoder","optional":false},{"name":"Syft","optional":false},{"name":"Trivy","optional":false},{"name":"Windsurf","optional":false},{"name":"DeepSeek","optional":true},{"name":"Llama","optional":true}],"status":"live","first_seen_at":"2026-08-05T12:57:20Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-22T09:19:03Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.\nDT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.\n Mission\nStrengthen Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories.\nRole focus\nThis position focuses on trustworthy validation of large codebases. The candidate should use AI development platforms alongside static analysis, dependency scanning, build diagnostics, and expert review to identify risks in OpenStack-derived services, infrastructure code, integration scripts, and platform automation.\nKey responsibilities\nAnalyse repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps relevant to due diligence.\n\nUse AI coding agents to accelerate code review preparation, vulnerability explanation, remediation proposal drafting, and technical debt clustering across large codebases.\n\nRun and interpret quality, dependency, secret, container, and infrastructure scanning tools while documenting false positives, residual risks, and required expert review.\n\nSupport reproducible build and release validation by analysing logs, pipeline definitions, container images, package sources, artefact flows, and configuration assumptions.\n\nCreate evidence packs that link findings to code locations, tool results, reviewer decisions, risk severity, mitigation options, and readiness implications.\n\nCollaborate with security, DevOps, architecture, and test specialists to ensure AI-assisted validation results are actionable and aligned with enterprise assurance expectations.\n\nExamples of market tools, models, and SDLC platforms expected\nAI coding and review environments such as Cursor, Windsurf, Claude Code, Continue, Cline, Aider, or VS Code-based assistants connected to approved model endpoints.\n\nOpen-source or Chinese coding-capable models such as DeepSeek Coder, Qwen/Qwen-Coder, CodeGeeX, StarCoder, Code Llama, Mistral, or similar internally hosted models.\n\nQuality and security tooling such as SonarQube, Semgrep, Trivy, GitGuardian, Syft, Grype, dependency-check, Falco, SBOM tooling, and container/image scanners.\n\nEngineering environments including GitLab, GitHub Enterprise, Jenkins, Kubernetes, Helm, Docker, ArgoCD, package registries, Python tooling, and log analysis workflows.\n\n Candidate profile\n5+ years in software engineering, secure development, DevSecOps, platform engineering, or quality-focused engineering roles.\n\nStrong Python skills plus practical experience in at least one backend or systems language such as Go, Java, C, C++, or Rust.\n\nHands-on experience with code review, vulnerability triage, dependency analysis, CI/CD inspection, container security, or software supply-chain evidence generation.\n\nPractical experience using AI coding assistants for code understanding, documentation, remediation proposals, test generation, or large-repository review acceleration.\n\nGood understanding of OpenStack-derived cloud platforms, distributed services, Kubernetes, Linux, and enterprise build and release processes is strongly preferred.\n\nComfortable producing concise, evidence-backed findings in high-accountability environments where confidentiality, auditability, and reviewer judgement are 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